Rational Security: The "Nothing To Be Thankful For" Edition
For Thanksgiving, we’re bringing you something a little different—an episode of Rational Security, our light, conversational show about national security and related topics. This week, Alan, Quinta and Scott were joined by special guest, Quinta's co-host of the Arbiters of Truth series on the Lawfare podcast feed Evelyn Douek! They sat down to discuss:
—“Getting Rittenhoused”: A jury recently acquitted 17-year-old Kyle Rittenhouse of murder charges for shooting two men in what he claimed was self-defense during last summer’s unrest. What does his trial and its aftermath tell us about the intersection of politics with our criminal justice system?
— “Now That’s a Power Serve”: A global pressure campaign by professional tennis players has forced Chinese officials to disclose the location of Chinese tennis player Peng Shuai, who disappeared after publicly accusing a former senior official of sexual assault. Is this a new model for dealing with Chinese human rights abuses?
— “Duck Say Quack and Fish Go Blub—But What Did Fox Say?”: Two prominent conservative commentators have resigned from Fox News over its release of a Tucker Carlson film that they say spreads misinformation and promotes violence. Will this be enough to force the network to curb its behavior?
For object lessons, Quinta endorsed her favorite pie dough recipe. Alan in turn made an unorthodox recommendation of what to put in that dough: sweet potato pie. Scott encouraged listeners to follow up that big meal with a cup of coffee, made on his beloved Aeropress with a Prismo filter attachment. And if that doesn't work, Evelyn suggested folks tuck in for a nap with her favorite weighted blanket from Bearaby.
Be sure to visit our show page at www.lawfareblog.com and to follow us on Twitter at @RatlSecurity.
And Rational Security listeners can now get a committed ad-free feed by becoming a Lawfare material supporter at www.patreon.com/lawfare!
Support this show http://supporter.acast.com/lawfare.
Hosted on Acast. See acast.com/privacy for more information.
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Repeatable methods, frameworks, mental models, processes, and systems.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A dedicated inventory of concrete resources named in the episode.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.